Monte Carlo model of the large modular array for positron emission particle tracking
Positron emission particle tracking (PEPT) is a non-invasive technique used to study fluid,
granular, and multi-phase systems of interest to academia and industry. PEPT employs …
granular, and multi-phase systems of interest to academia and industry. PEPT employs …
Autonomous digitizer calibration of a Monte Carlo detector model through evolutionary simulation
Simulating the response of a radiation detector is a modelling challenge due to the
stochastic nature of radiation, often complex geometries, and multi-stage signal processing …
stochastic nature of radiation, often complex geometries, and multi-stage signal processing …
[HTML][HTML] Block-movement-based calibration of a discrete element model for fine, cohesive powders
Discrete-element-based simulations of highly cohesive powders require massive coarse-
graining. Because corresponding material parameters are not known a priori, they need to …
graining. Because corresponding material parameters are not known a priori, they need to …
Development of Monte Carlo models for the optimisation of positron emission particle tracking experiments
M Herald - 2023 - etheses.bham.ac.uk
Positron emission particle tracking (PEPT) is a non-invasive technique used to measure the
three-dimensional position of positron-emitting tracers. PEPT is useful for studying myriad …
three-dimensional position of positron-emitting tracers. PEPT is useful for studying myriad …
[PDF][PDF] Autonomous digitizer calibration of a Monte Carlo detector model through evolutionary simulation
Simulating the response of a radiation detector is a modelling challenge due to the
stochastic nature of radiation, often complex geometries, and multi‑stage signal processing …
stochastic nature of radiation, often complex geometries, and multi‑stage signal processing …